1) Generalized neuron
广义神经元
2) generalized congruent neural
广义同余神经元
3) generalized mathematical neurons
广义数学神经元
1.
Base on ,This paper establish generalized mathematical neurons,and draw into dynamic mechanism,form dynamic mathemtical neural networks,the number of network node was decided by it s current status.
本文在[1]的基础上建立了广义数学神经元,并引入动态机制,形成动态数学神经网络,由网络当前状态决定网络结点数。
4) generalized shunting neuron
广义并联抑制神经元
5) generalized neural networks
广义神经网络
1.
New sufficient conditions of globally exponential stability of generalized neural networks with time delays were presented by using Liapunov algorithm,linear matrix inequality and integral inequality.
对于具有时滞的广义神经网络,利用Liapunov函数方法、线性矩阵不等式以及积分不等式等技巧,给出了该神经网络模型的平衡点的存在性、惟一性以及全局指数稳定的一些充分条件。
6) general regression neural network
广义神经网络
1.
A kind of smoothing factor,which optimizes general regression neural network (GRNN) by improved particle swarm optimization (PSO),is put forward and a method to forecast system marginal price by GRNN with optimized parameters is proposed.
提出了一种利用改进粒子群算法优化广义神经网络的平滑因子,并采用优化后的网络预测系统边际价格的方法,该方法克服了利用梯度下降法优化平滑因子时易陷入局部极值点以及利用遗传算法优化平滑因子时收敛速度慢等缺点。
补充资料:神经元形态中枢神经系统内轴突髓鞘的形成示意图
李瑞端绘
[图]
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